Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore.

Meyer N, Janot JM, Lepoitevin M, Smietana M, Vasseur JJ, Torrent J, Balme S

DOI: 10.3390/bios10100140
Published: 2020 Oct 5
Container: Biosensors
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bios10100140,
  title = {Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore.},
  author = {Meyer N and Janot JM and Lepoitevin M and Smietana M and Vasseur JJ and Torrent J and Balme S},
  year = {2020},
  journal = {Biosensors},
  doi = {10.3390/bios10100140},
  url = {https://doi.org/10.3390/bios10100140}
}

RIS

TY  - JOUR
TI  - Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore.
AU  - Meyer N
AU  - Janot JM
AU  - Lepoitevin M
AU  - Smietana M
AU  - Vasseur JJ
AU  - Torrent J
AU  - Balme S
PY  - 2020
JO  - Biosensors
DO  - 10.3390/bios10100140
UR  - https://doi.org/10.3390/bios10100140
ER  -

APA

N, M., JM, J., M, L., M, S., JJ, V., J, T., & S, B. (2020). Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore.. Biosensors. https://doi.org/10.3390/bios10100140

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pubmed · retrieved 2026-09-27T15:50:25.875Z